Time Series
Static
50 Python scripts generated for time table this week
Time Table
Chart overview
Time tables display schedules in a structured tabular format, showing events, times, and associated details.
Key points
- Modern Python libraries enable creation of beautifully styled schedule displays suitable for conferences, classes, or project planning.
Example Visualization
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Generate publication-ready time tables with AI in seconds. No coding required – just describe your data and let AI do the work.
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Example AI Prompt
"Create a beautifully formatted conference schedule timetable for a 'Data Science Summit' spanning 2 days. Generate a realistic program: Day 1 has 3 tracks (AI/ML, Data Engineering, Business Intelligence) with sessions from 9:00 AM to 5:00 PM. Day 2 has keynotes and workshops. Include sessions like 'Opening Keynote: Future of AI' (9:00-10:00, Main Hall, Dr. Sarah Chen), 'Hands-on PyTorch Workshop' (10:30-12:00, Room A, 40 attendees max), 'Lunch & Networking' (12:00-1:30), etc. Format as a grid with time slots as rows, tracks as columns. Color-code by session type: Keynote (gold), Workshop (blue), Talk (green), Break (gray). Include room location and speaker name. Add capacity indicators. Title: 'Data Science Summit 2024 - Conference Schedule'."
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1
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2
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3
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Python Code Example
example.py
# === IMPORTS ===
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle, FancyBboxPatch
import matplotlib.patheffects as pe
# === USER-EDITABLE PARAMETERS ===
title = "Data Science Summit 2024"
figsize = (16, 10)
# === EXAMPLE DATASET ===
schedule = [
{'time': '9:00–10:00', 'sessions': [
('Opening Keynote: The Future of AI', 'Keynote', True, True, True),
]},
{'time': '10:00–10:30', 'sessions': [
('Coffee Break & Networking', 'Break', True, True, True),
]},
{'time': '10:30–12:00', 'sessions': [
('PyTorch Deep Dive Workshop', 'Workshop', False, False, False),
('Data Pipeline Architecture', 'Talk', False, False, False),
('Business Intelligence 101', 'Talk', False, False, False),
]},
{'time': '12:00–13:30', 'sessions': [
('Lunch & Networking', 'Break', True, True, True),
]},
{'time': '13:30–14:30', 'sessions': [
('LLMs in Production', 'Talk', False, False, False),
('Apache Spark Optimization', 'Talk', False, False, False),
('Tableau Masterclass', 'Workshop', False, False, False),
]},
{'time': '14:30–15:30', 'sessions': [
('Computer Vision Advances', 'Talk', False, False, False),
('Real-time Data Streaming', 'Talk', False, False, False),
('Power BI Dashboards', 'Workshop', False, False, False),
]},
{'time': '15:30–16:00', 'sessions': [
('Coffee Break', 'Break', True, True, True),
]},
{'time': '16:00–17:00', 'sessions': [
('Closing Keynote: AI Ethics & Responsibility', 'Keynote', True, True, True),
]},
]
tracks = ['AI / ML Track', 'Data Engineering', 'Business Intelligence']
# Print summary
print("=== Conference Schedule ===")
print(f"\nTracks: {len(tracks)}")
print(f"Time Slots: {len(schedule)}")
# === CREATE TIMETABLE ===
fig, ax = plt.subplots(figsize=figsize, facecolor='#0d1117')
ax.set_facecolor('#0d1117')
# Colors
colors = {
'Keynote': {'bg': '#6c5ce7', 'border': '#a29bfe', 'text': 'white'},
'Workshop': {'bg': '#00b894', 'border': '#55efc4', 'text': 'white'},
'Talk': {'bg': '#0984e3', 'border': '#74b9ff', 'text': 'white'},
'Break': {'bg': '#2d3436', 'border': '#636e72', 'text': '#b2bec3'}
}
# Grid dimensions
cell_height = 1.0
cell_width = 2.5
time_width = 1.2
header_height = 0.6
n_rows = len(schedule)
# Draw header
for j, track in enumerate(tracks):
x = time_width + j * cell_width
box = FancyBboxPatch((x + 0.05, n_rows + 0.05), cell_width - 0.1, header_height - 0.1,
boxstyle="round,pad=0.02", facecolor='#6c5ce7',
edgecolor='#a29bfe', linewidth=2)
ax.add_patch(box)
ax.text(x + cell_width/2, n_rows + header_height/2, track,
fontsize=12, fontweight='bold', color='white',
ha='center', va='center')
# Time column header
box = FancyBboxPatch((0.05, n_rows + 0.05), time_width - 0.1, header_height - 0.1,
boxstyle="round,pad=0.02", facecolor='#2d3436',
edgecolor='#636e72', linewidth=2)
ax.add_patch(box)
ax.text(time_width/2, n_rows + header_height/2, 'TIME',
fontsize=11, fontweight='bold', color='white',
ha='center', va='center')
# Draw schedule rows
for i, row in enumerate(schedule):
y = n_rows - i - 1
# Time cell
box = FancyBboxPatch((0.05, y + 0.05), time_width - 0.1, cell_height - 0.1,
boxstyle="round,pad=0.02", facecolor='#161b22',
edgecolor='#30363d', linewidth=1)
ax.add_patch(box)
ax.text(time_width/2, y + cell_height/2, row['time'],
fontsize=10, fontweight='bold', color='#e6edf3',
ha='center', va='center')
sessions = row['sessions']
if len(sessions) == 1 and sessions[0][2]: # Spans all tracks
session = sessions[0]
style = colors[session[1]]
x = time_width
width = cell_width * 3
box = FancyBboxPatch((x + 0.05, y + 0.05), width - 0.1, cell_height - 0.1,
boxstyle="round,pad=0.02", facecolor=style['bg'],
edgecolor=style['border'], linewidth=2)
ax.add_patch(box)
# Session icon
icon = '🎤' if session[1] == 'Keynote' else '☕' if session[1] == 'Break' else '💡'
ax.text(x + width/2, y + cell_height/2 + 0.1, icon,
fontsize=14, ha='center', va='center')
ax.text(x + width/2, y + cell_height/2 - 0.15, session[0],
fontsize=10, fontweight='bold', color=style['text'],
ha='center', va='center', wrap=True)
else:
for j, session in enumerate(sessions):
x = time_width + j * cell_width
style = colors[session[1]]
box = FancyBboxPatch((x + 0.05, y + 0.05), cell_width - 0.1, cell_height - 0.1,
boxstyle="round,pad=0.02", facecolor=style['bg'],
edgecolor=style['border'], linewidth=2, alpha=0.9)
ax.add_patch(box)
# Session title (wrapped)
title_lines = session[0].split(' ')
if len(title_lines) > 4:
line1 = ' '.join(title_lines[:3])
line2 = ' '.join(title_lines[3:])
ax.text(x + cell_width/2, y + cell_height/2 + 0.1, line1,
fontsize=9, fontweight='bold', color=style['text'],
ha='center', va='center')
ax.text(x + cell_width/2, y + cell_height/2 - 0.15, line2,
fontsize=9, fontweight='bold', color=style['text'],
ha='center', va='center')
else:
ax.text(x + cell_width/2, y + cell_height/2, session[0],
fontsize=9, fontweight='bold', color=style['text'],
ha='center', va='center')
# Title
ax.text(time_width + (3 * cell_width)/2, n_rows + header_height + 0.5, title,
fontsize=24, fontweight='bold', color='white', ha='center',
path_effects=[pe.withStroke(linewidth=3, foreground='#6c5ce7')])
# Legend
legend_y = -0.8
for idx, (session_type, style) in enumerate(colors.items()):
x = time_width + idx * 2
box = FancyBboxPatch((x, legend_y), 0.4, 0.3,
boxstyle="round,pad=0.02", facecolor=style['bg'],
edgecolor=style['border'], linewidth=1)
ax.add_patch(box)
ax.text(x + 0.6, legend_y + 0.15, session_type, fontsize=10, color='#888',
ha='left', va='center')
# Styling
ax.set_xlim(-0.2, time_width + 3 * cell_width + 0.5)
ax.set_ylim(-1.2, n_rows + header_height + 1)
ax.axis('off')
plt.tight_layout()
plt.savefig('chart.png', dpi=150, bbox_inches='tight', facecolor='#0d1117')
print("Saved: chart.png")
plt.show()
# END-OF-CODE
Opens the Analyze page with this code pre-loaded and ready to execute
Console Output
Output
=== Conference Schedule === Tracks: 3 Time Slots: 8 Saved: chart.png
Common Use Cases
- 1Conference programs
- 2Class schedules
- 3Transportation timetables
- 4Event planning
Pro Tips
Group by time or track
Use color for categories
Include duration indicators
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